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МГТС — основной телекоммуникационный партнер Города Москвы и часть экосистемы МТС. Проектируем, строим и эксплуатируем передовую телекоммуникационную инфраструктуру, развиваем и внедряем сети нового поколения,…
We are seeking a Senior Data Platform Engineer to design, build, and operate a scalable, secure, and governed data platform supporting security, audit, operational, and analytics workloads. This role is primarily…
Lead the technical vision for analytics engineering across revenue, purchase, and orders domains, designing scalable data models and pipelines while mentoring teams to ensure maintainable, high-quality data products.
Design, build, and maintain data models and ETL/ELT pipelines using Microsoft Fabric to support reporting, analytics, and AI for a train operator.
- Build data pipelines for AI/ML - Collaborate with data science and AI platform teams - Contribute to model validation and improvements - Design data ingestion and retrieval ready datasets - Design distributed systems…
The Data Solution Architect leads a modernization program migrating on-prem data to Snowflake on AWS, designing target architecture, ingestion frameworks, and governance standards. They work with stakeholders to deliver scalable, secure data solutions in a complex enterprise environment.
Hands-on Data Engineer contract migrating legacy assets to Microsoft Fabric using dbt and SQL. Responsibilities include reverse engineering ETL, moving data to OneLake, and establishing CI/CD pipelines.
Job Description Job Purpose We are looking for a talented and experienced Senior Data Engineer / Backend SQL Developer to join our Data Aggregation team. In this role, you will be a core contributor to our SQL Server…
Want to be a part of Asia Pacific & Middle East's (APME) largest, most innovative, and rapidly growing data centre company? AirTrunk is a technology company with a powerful purpose - to scale and sustain the…
Performance Contracting Group (PCG) is seeking a Data Architect to own the design and evolution of our enterprise data architecture across a hybrid estate: a Microsoft Fabric analytics platform built on a medallion…
Design, build and operationalise enterprise-grade data platforms using Microsoft Fabric and Azure, leading end-to-end pipeline development and analytics delivery.
Build and optimize low-level application frameworks and JVM internals for Databricks' data and AI platform, focusing on performance, scalability, and reliability.
Senior Data Engineer responsible for designing and delivering scalable data integration and analytics solutions using Azure and Databricks. Role involves hands-on data ingestion, transformation, and modelling with PySpark and SQL.
Designs and operates Toss Bank’s enterprise-wide data governance framework, balancing regulatory compliance with data utility across IT, security, legal, and business teams.
Build and maintain data pipelines and warehouses using Microsoft Fabric, Azure, and SQL. Responsible for ETL/ELT processes, data integration, and ensuring data governance and security within a cloud environment.
Design and maintain automated MLOps pipelines and infrastructure using Azure, Databricks, Spark, Kubernetes, and CI/CD tools to deploy machine learning models into production.
Senior Data Engineer modernizing a data warehouse into a Databricks Lakehouse, building batch and streaming pipelines with PySpark and Delta Lake using medallion architecture, while leveraging AI tools like Claude and GitHub Copilot for development acceleration.
Modernize a 15-year-old data warehouse into a governed Databricks Lakehouse using PySpark, Delta Lake, and AI tools like Claude. Build batch and streaming pipelines, ensuring data quality and governance.
Design, build, and support scalable data pipelines and data products using Azure Databricks, Spark/PySpark, and Delta Lake to enable analytics and risk management for the bank.
Introduction At IBM Global Sales, we bring together innovation, collaboration, and expertise to help clients solve their most complex business challenges. Working across industries and geographies, you’ll partner with…
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